ycliper

Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
Скачать

Conditional Average Treatment Effects: Causal Inference Bootcamp

Автор: Mod•U: Powerful Concepts in Social Science

Загружено: 2015-09-02

Просмотров: 21124

Описание: When we try to find the effect of a treatment on a group within our population, such as men or women, that's called a Conditional Average Treatment Effect, or CATE. This can be very useful because of heterogenous effects of the treatment in the population, meaning that different people can feel different results.

The Causal Inference Bootcamp is created by Duke University's Education and Human Development Incubator (EHDi) at Duke's Social Sciences Research Institute.

See our other modules on many related topics: https://modu.ssri.duke.edu

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Conditional Average Treatment Effects: Causal Inference Bootcamp

Поделиться в:

Доступные форматы для скачивания:

Скачать видео

  • Информация по загрузке:

Скачать аудио

Похожие видео

Confounders: Causal Inference Bootcamp

Confounders: Causal Inference Bootcamp

Average Treatment Effects: Causal Inference Bootcamp

Average Treatment Effects: Causal Inference Bootcamp

Причинно-следственная связь - ОБЪЯСНЕНА!

Причинно-следственная связь - ОБЪЯСНЕНА!

Defining LATE: The Local Average Treatment Effect: Causal Inference Bootcamp

Defining LATE: The Local Average Treatment Effect: Causal Inference Bootcamp

Double Machine Learning for Causal and Treatment Effects

Double Machine Learning for Causal and Treatment Effects

Defining LATE: The Local Average Treatment Effect: Causal Inference Bootcamp

Defining LATE: The Local Average Treatment Effect: Causal Inference Bootcamp

Причинно-следственные выводы с помощью машинного обучения — ОБЪЯСНЕНЫ!

Причинно-следственные выводы с помощью машинного обучения — ОБЪЯСНЕНЫ!

Why the Radius Is NOT 21 – Quarter Circle Geometry Puzzle

Why the Radius Is NOT 21 – Quarter Circle Geometry Puzzle

Моделирование эффектов гетерогенного лечения с помощью R

Моделирование эффектов гетерогенного лечения с помощью R

Weird Habits That Actually Reveal High Intelligence

Weird Habits That Actually Reveal High Intelligence

Using Regression to Get Causal Effects: Unconfoundedness: Causal Inference Bootcamp

Using Regression to Get Causal Effects: Unconfoundedness: Causal Inference Bootcamp

What is causal inference, and why should data scientists know? by Ludvig Hult

What is causal inference, and why should data scientists know? by Ludvig Hult

"Fuzzy" Regression Discontinuity: Addressing Blurry Lines Between Groups: Causal Inference Bootcamp

Средние эффекты лечения (ATE, ATT, ITT и т. д.)

Средние эффекты лечения (ATE, ATT, ITT и т. д.)

Correlation vs. Causation: Causal Inference Bootcamp

Correlation vs. Causation: Causal Inference Bootcamp

Noncompliance in Experiments: Causal Inference Bootcamp

Noncompliance in Experiments: Causal Inference Bootcamp

Direct Observations of Einstein's Frame Dragging Effect

Direct Observations of Einstein's Frame Dragging Effect

How to Compute Causal Effects Using Regression Discontinuity: Causal Inference Bootcamp

How to Compute Causal Effects Using Regression Discontinuity: Causal Inference Bootcamp

Instrumental Variables in Action: Education and Wages (graphs): Causal Inference Bootcamp

Instrumental Variables in Action: Education and Wages (graphs): Causal Inference Bootcamp

Randomized Experiments: Causal Inference Bootcamp

Randomized Experiments: Causal Inference Bootcamp

© 2025 ycliper. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]